Taesu Kim

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 6 papers; trusts 57 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Taesu Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Shun-ichi Amari
  4. Kiyotoshi Matsuoka
  5. Yoshua Bengio
  6. Lucas C. Parra
  7. Noboru Murata
  8. Yuxuan Wang
  9. Alex Krizhevsky
  10. Sergey Ioffe

Who trusts Taesu Kim overall

  1. Nobutaka Ono
  2. Daichi Kitamura
  3. Jason A. Palmer
  4. Chenpeng Du
  5. Rui Liu
  6. Chung-Ming Chien
  7. Wen Wang
  8. Hiroshi Sawada
  9. John Ingraham
  10. Takuma Okamoto

Papers from Taesu Kim's perspective

Ordered by how strongly the researchers Taesu Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers